OBIRE

It has been widely recognized that bibliographic information plays an increasingly important role for scientific research. Peer-to-peer (P2P) networks provide an effective environment for people belonging to a community to share various resources on the Internet. This paper presents OBIRE, an ontology based P2P network for bibliographic information retrieval. For a user query, OBIRE computes the degree of matches to indicate the similarity of a published record to the query. When searching for information, users can incorporate their domain knowledge into their queries which guides OBIRE to discover the bibliographic records that are of most interest of users. In addition, fuzzy logic based user recommendations are used to compute the trustiness of a set of keywords used by a bibliographic record which assists users in selecting bibliographic records. OBIRE is evaluated from the aspects of precision and recall, and experimental results show the effectiveness of OBIRE in bibliographic information retrieval.

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Designing a Chat-Bot for College Information using Information Retrieval and Automatic Text Summarization Techniques

Current Chinese Computer Science ◽

10.2174/2665997201999201022191540 ◽

2020 ◽

Vol 01 ◽

Author(s):

Radha Guha

Keyword(s):

Information Retrieval ◽

Language Processing ◽

Latent Dirichlet Allocation ◽

Semantic Analysis ◽

Text Summarization ◽

The Internet ◽

Specific Domain ◽

User Query ◽

College Information ◽

Chat Bot

Background:: In the era of information overload it is very difficult for a human reader to make sense of the vast information available in the internet quickly. Even for a specific domain like college or university website it may be difficult for a user to browse through all the links to get the relevant answers quickly. Objective:: In this scenario, design of a chat-bot which can answer questions related to college information and compare between colleges will be very useful and novel. Methods:: In this paper a novel conversational interface chat-bot application with information retrieval and text summariza-tion skill is designed and implemented. Firstly this chat-bot has a simple dialog skill when it can understand the user query intent, it responds from the stored collection of answers. Secondly for unknown queries, this chat-bot can search the internet and then perform text summarization using advanced techniques of natural language processing (NLP) and text mining (TM). Results:: The advancement of NLP capability of information retrieval and text summarization using machine learning tech-niques of Latent Semantic Analysis(LSI), Latent Dirichlet Allocation (LDA), Word2Vec, Global Vector (GloVe) and Tex-tRank are reviewed and compared in this paper first before implementing them for the chat-bot design. This chat-bot im-proves user experience tremendously by getting answers to specific queries concisely which takes less time than to read the entire document. Students, parents and faculty can get the answers for variety of information like admission criteria, fees, course offerings, notice board, attendance, grades, placements, faculty profile, research papers and patents etc. more effi-ciently. Conclusion:: The purpose of this paper was to follow the advancement in NLP technologies and implement them in a novel application.

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P2P Payment using Blockchain Technology

International Journal of Advanced Research in Science, Communication and Technology ◽

10.48175/ijarsct-2071 ◽

2021 ◽

pp. 12-16

Author(s):

Savinay Mengi ◽

Astha Gupta

Keyword(s):

Distributed Control ◽

Distributed Database ◽

Economic Incentives ◽

P2p Network ◽

The Internet ◽

P2p Networks ◽

Transaction Data ◽

Blockchain Technology ◽

Single User ◽

Human Problem

A Blockchain protocol operates on top of the Internet, on a P2P network of computers that all run the protocol and hold an identical copy of the ledger of transactions, enabling P2P value transactions without a middleman though machine consensus. The concept of Blockchain first came to fame in October 2008, as part of a proposal for Bitcoin, with the aim to create P2P money without banks. Bitcoin introduced a novel solution to the age-old human problem of trust. The underlying blockchain technology allows us to trust the outputs of the system without trusting any actor within it. People and institutions who do not know or trust each other, reside in different countries, are subject to different jurisdictions, and who have no legally binding agreements with each other, can now interact over the Internet without the need for trusted third parties like banks, Internet platforms, or other types of clearing institutions. Ideas around cryptographically secured P2P networks have been discussed in the academic environment in different evolutionary stages, mostly in theoretical papers, since the 1980s. “Proof-of-Work” is the consensus mechanism that enables distributed control over the ledger. It is based on a combination of economic incentives and cryptography. Blockchain is a shared, trusted, public ledger of transactions, that everyone can inspect but which no single user controls. It is a distributed database that maintains a continuously growing list of transaction data records, cryptographically secured from tampering and revision.

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Application of Ontology Technology in Agricultural Information Retrieval

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.756-759.1249 ◽

2013 ◽

Vol 756-759 ◽

pp. 1249-1253 ◽

Cited By ~ 1

Author(s):

Jin Cui Kang ◽

Jing Long Gao

Keyword(s):

Information Retrieval ◽

Knowledge Base ◽

Domain Knowledge ◽

The Internet ◽

Related Information ◽

Agricultural Knowledge ◽

Intelligent Searching ◽

Knowledge Ontology

The agricultural information on the internet become more and more, it is very difficult to search accurate related information from such different information, in order to improve the efficiency of information retrieval on the internet, the intelligent searching technology of agricultural information based on ontology is proposed. The paper firstly introduces research on the agricultural ontology and information retrieval, and takes agriculture domain knowledge as research object, analyzes the characters of agricultural domain knowledge and semantics retrieval, then uses the agricultural ontology to make the structure of agriculture ontology knowledge, and constructs the related agricultural knowledge ontology and knowledge base, implementing the intelligent searching of the agricultural information. The results indicate that the application of agricultural ontology technology in the agricultural information retrieval not only achieves the intelligent retrieval of agricultural information, but also greatly improves the accuracy and reliability of agricultural information retrieval.

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Music Information Retrieval in P2P Networks

Intelligent Music Information Systems ◽

10.4018/978-1-59904-663-1.ch009 ◽

2011 ◽

pp. 190-216

Author(s):

Ioannis Karydis

Keyword(s):

Information Retrieval ◽

Music Information Retrieval ◽

Image Data ◽

Peer To Peer ◽

P2p Network ◽

P2p Networks ◽

Text And Image ◽

General Terms ◽

Peer To Peer Networks ◽

Music Information

In this chapter we present the most significant trends in recent research in the field of content-based music information retrieval in peer-to-peer networks. Despite the diminished attention the area has received in general terms, the relatively close area of metadata MIR in P2P is by far new. As metadata prove to be inefficient for the purposes of MIR as well as the peculiarities of music in comparison to text and image data, developing dedicated solutions for CBMIR in P2P networks becomes a necessity while the challenges faced therein, unique. Depending on the type of P2P network, a number of prominent research works are presented and compared in this chapter.

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Design and Simulation of Smart Control System for Internet Traffic Distribution on Servers by Using Fuzzy Logic System

Al-Kitab Journal for Pure Sciences ◽

10.32441/kjps.v2i1.138 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Raid Daoud ◽

Yaareb Al-Khashab

Keyword(s):

Fuzzy Logic ◽

Control System ◽

Input Parameter ◽

Traffic Density ◽

The Internet ◽

Linguistic Variables ◽

Internet Service ◽

Traffic Distribution ◽

Smart Control ◽

High Level

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.

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Semantic Representation of a Geo-Social User Profile for a Personalised Information Retrieval

Journal of Information & Knowledge Management ◽

10.1142/s0219649221500441 ◽

2021 ◽

pp. 2150044

Author(s):

Tahar Rafa ◽

Samir Kechid

Keyword(s):

Information Retrieval ◽

Information Search ◽

Semantic Representation ◽

User Profile ◽

Search Process ◽

Search System ◽

User Interactions ◽

User Interests ◽

Situational Contexts ◽

User Query

The user-centred information retrieval needs to introduce semantics into the user modelling for a meaningful representation of user interests. The semantic representation of the user interests helps to improve the identification of the user’s future cognitive needs. In this paper, we present a semantic-based approach for a personalised information retrieval. This approach is based on the design and the exploitation of a user profile to represent the user and his interests. In this user profile, we combine an ontological semantics issued from WordNet ontology, and a personal semantics issued from the different user interactions with the search system and with his social and situational contexts of his previous searches. The personal semantics considers the co-occurrence relations between relevant components of the user profile as semantic links. The user profile is used to improve two important phases of the information search process: (i) expansion of the initial user query and (ii) adaptation of the search results to the user interests.

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Detection of DDOS attacks in distributed peer to peer networks

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.7.12227 ◽

2018 ◽

Vol 7 (2.7) ◽

pp. 1051

Author(s):

Gera Jaideep ◽

Bhanu Prakash Battula

Keyword(s):

High Risk ◽

Large Scale ◽

Peer To Peer ◽

P2p Network ◽

Ddos Attacks ◽

P2p Networks ◽

Distributed Environment ◽

Trace Back ◽

Peer To Peer Networks ◽

Direct Attack

Peer to Peer (P2P) network in the real world is a class of systems that are made up of thousands of nodes in distributed environments. The nodes are decentralized in nature. P2P networks are widely used for sharing resources and information with ease. Gnutella is one of the well known examples for such network. Since these networks spread across the globe with large scale deployment of nodes, adversaries use them as a vehicle to launch DDoS attacks. P2P networks are exploited to make attacks over hosts that provide critical services to large number of clients across the globe. As the attacker does not make a direct attack it is hard to detect such attacks and considered to be high risk threat to Internet based applications. Many techniques came into existence to defeat such attacks. Still, it is an open problem to be addressed as the flooding-based DDoS is difficult to handle as huge number of nodes are compromised to make attack and source address spoofing is employed. In this paper, we proposed a framework to identify and secure P2P communications from a DDoS attacks in distributed environment. Time-to-Live value and distance between source and victim are considered in the proposed framework. A special agent is used to handle information about nodes, their capacity, and bandwidth for efficient trace back. A Simulation study has been made using NS2 and the experimental results reveal the significance of the proposed framework in defending P2P network and target hosts from high risk DDoS attacks.

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